Inviting a strong Data analyst for the project in energy industry in a German company

Tasks:

• Providing the balance sheet accrual data (BilA) from Powercloud and SAP IS-U with the required structure and quality
• Development of data models/data sets to map the business logic (Snowflake/SQL Server)
• Support and testing of technical developments for automated BilA validation processes
• Consolidation of data from different systems
• Optional development and further development of Power BI reports

Qualifications:

• Advanced knowledge of SQL
• Experience with Snowflake
• Analytical thinking understanding
• Experience in the energy industry
• Knowledge of Power BI
• Knowledge in Python

Project language: German/English

Location: Europe

Looking for strong professionals for the iOS developer role to the Mobile solutions department.

About the project:

A connected pet-safety platform combining GPS geofencing, real-time location, training workflows, and multi-device management. 

The scope of work for the project: end-to-end backend on Azure, mobile application development (Xamarin + native), firmware for BLE/LTE/Wi-Fi, and the Angular admin portal.

Tech part:

The system includes a .NET cloud backend on Azure (AKS/Functions, API Gateway, IoT Hub/MQTT, Event Hub, Redis cache, SQL/Cosmos for telemetry & config, Blob for media), a rules engine for geofence/alerts, OTA update pipeline, webhook/Push/SMS notifications, analytics, and CI/CD with observability (App Insights/Prometheus-Grafana).

Mobile apps are built with Xamarin and native stacks (iOS/Android) consuming REST/GraphQL APIs and background location services.

Device firmware integrates BLE for pairing/provisioning, LTE for wide-area tracking, and Wi-Fi for home connectivity, with secure boot, DFU/OTA, and power-management. An Angular admin console provides fleet/user/subscription management, policy editing, and live device dashboards.

Requirements:

• Experience developing architectures from scratch and/or introducing enhancements to existing architecture
• Experience working in all phases of the mobile application development lifecycle.
• Proven ability to communicate difficult technical issues with sufficient clarity to internal and external stakeholders.
• Experience in developing iOS applications using Swift, with demonstrated expertise in Swift Concurrency and SwiftUI
• A strong grasp of software architecture patterns like MVP, MVVM, or MVI.
• Solid knowledge of CS fundamentals, including data structures, algorithms, and multi-threading.
• Familiarity with Agile methodologies
• Experience with Git and automation tools such as CI/CD and unit testing.
• Seasoned in creating sophisticated public-facing applications.
• Very good level of English (min. B2+).

Nice to have:

• Objective-C experience.
• TCA experience.
• Experience moving from cross-platform to native app development.
• Experience working with BLE and smart devices. (Share your examples and comments with us).
• Experience in implementing complex UI/UX in B2C apps. (Share your examples (links) in your CV).
• Experience in some of the following domains: consumer apps, fitness and health apps, hardware apps such as apps for smart wearables, etc. (Share your examples and comments with us).
• Experience working in complex environments with multiple teams and stakeholders
• Experience working in distributed teams across multiple time zones
• Experience in leading a team from a technical point of view.

We are looking for a Data Science specialist with experience in banking projects to build risk models (scoring for lending).

Key Areas of Responsibility

Risk Modeling Department:

- Full-cycle development of ensemble models, including data preparation and preprocessing, labeling, and splitting into training and testing datasets.  

- Selection and tuning of base models with an emphasis on diversity to improve prediction quality.  

- Development of machine learning models to forecast daily balances on corporate client accounts, incorporating time series analysis (weekly, monthly, quarterly) and additional factors (weekdays, holidays, tax periods, business cycles).  

- Training personalized models.  

- Application of model aggregation techniques (bagging, boosting, stacking) with optimized ensemble weighting.  

- Performance evaluation using accuracy, recall, and F1-score metrics to enhance prediction quality.  

- Deployment of models into production environments, ongoing monitoring, and regular parameter optimization.

Computer Vision Projects:

- Development and implementation of a biometric identity verification system, including document recognition and photo comparison modules.  

- Requirements analysis and system architecture design with a focus on high security and recognition accuracy standards.  

- Implementation of image processing algorithms to extract data from passports and compare with client selfie photos.

Acquisition Analytics:

- Comprehensive analysis of acquiring and cash management portfolio data, including collection and preprocessing of historical client behavior data.  

- Feature engineering reflecting transactional activity, financial indicators, and service usage patterns to identify key churn factors.  

- Building and training an ensemble prediction model optimized for the specifics of both products.  

- Implementation of client scoring system based on churn probability considering financial behavior and length of partnership.

Technologies and Tools: Python, SQL, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow/Keras, PyTorch, Random Forest, Gradient Boosting, Stacking, Pandas, NumPy, Matplotlib, Seaborn.